Urban-Scale Computational Fluid Dynamics Simulations with Boundary Conditions from Similarity Theory and a Mesoscale Model

Energies

Efstathios Konstantinidis¹  Anastasios Kopanidis¹  Demetri Bouris²  Athina Krestou³  Athanasios G. Triantafyllou³  John Skordas³  Elena Leivaditou³  Qing Wang⁴ 

[1] Department of Mechanical Engineering, University of Western Macedonia, 50100 Κozani, Greece;Laboratory for Innovative Environmental Technologies, School of Mechanical Engineering, National Technical University of Athens, 15780 Zograou, Greece;Laboratory of Atmospheric Pollution and Environmental Physics, Department of Mineral Resources Engineering, University of Western Macedonia, 50132 Κozani, Greece;Meteorology Department, Naval Postgraduate School, Monterey, CA 93943-5006, USA;

关键词: urban microclimate;    built environment;    computational fluid dynamics;    atmospheric boundary layer;    boundary conditions;   

DOI  :  10.3390/en14185624

来源: DOAJ

【 摘 要 】

Mesoscale numerical weather prediction models usually provide information regarding environmental parameters near urban areas at a spatial resolution of the order of thousands or hundreds of meters, at best. If detailed information is required at the building scale, an urban-scale model is necessary. Proper definition of the boundary conditions for the urban-scale simulation is very demanding in terms of its compatibility with environmental conditions and numerical modeling. Here, steady-state computational fluid dynamics (CFD) microscale simulations of the wind and thermal environment are performed over an urban area of Kozani, Greece, using both the k-ε and k-ω SST turbulence models. For the boundary conditions, instead of interpolating vertical profiles from the mesoscale solution, which is obtained with the atmospheric pollution model (TAPM), a novel approach is proposed, relying on previously developed analytic expressions, based on the Monin Obuhkov similarity theory, and one-way coupling with minimal information from mesoscale indices (V_y = 10 m, T_y = 100 m, L_*). The extra computational cost is negligible compared to direct interpolation from mesoscale data, and the methodology provides design phase flexibility, allowing for the representation of discrete urban-scale atmospheric conditions, as defined by the mesoscale indices. The results compared favorably with the common interpolation practice and with the following measurements obtained for the current study: SODAR for vertical profiles of wind speed and a meteorological temperature profiler for temperature. The significance of including the effects of diverse atmospheric conditions is manifested in the microscale simulations, through significant variations (~30%) in the critical building-related design parameters, such as the surface pressure distributions and local wind patterns.

【 授权许可】

Unknown